Author

Mark A. Lemley

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Preprint Jul 2026

Extractable Memorization From First Principles

It is shown that matched comparisons enable rigorous, calibrated memorization claims, and reveal where prior setups have validity issues, which require a valid memorization claim and near-certain generation within a realistic budget.

A. F. Cooper, Marika Swanberg, Jamie Hayes et al. · 0 citations

Preprint Jul 2026

Probabilistic"Copies"in Generative AI Models

It is argued that copyright law will likely take a functional approach to the question, finding that LLMs contain a copy of a particular work only if it is straightforward to extract that work in outputs.

Mark A. Lemley, A. F. Cooper · 0 citations